Data Scientist - Scottsdale, United States - Uplinq

Uplinq

Verified Company

Scottsdale, United States

1 week ago

Posted by:

Mark Lane

beBee recruiter

Description

About Uplinq
We are an Arizona-based startup building software to automate bookkeeping and accounting for small businesses. This wasn't always our plan.

When we started Uplinq, we wanted to help small businesses work with acquirers/investors, survive loan due diligence, and use their financial data to make timely business decisions.

We tried solving these problems directly to no avail and quickly realized they are all symptoms of a bigger problem:
bookkeeping is hard, and SMBs hate doing it. Since then we've been hard at work reinventing bookkeeping as a SaaS product. What we've built to date allows us to offer high-quality, real-time, and affordable bookkeeping to hundreds of small businesses.

Uplinq is looking for a Data Scientist to join its core team.

A Data Scientist in this role will work closely with both CPAs and engineers to solve high-impact business problems by directly communicating with stakeholders, creating models and software to analyze financial data, and monitoring their work for impact once deployed.

Requirements:

Minimum of 24 months of experience using Data Science methodologies to analyze financial datasets
Minimum of 24 months of experience with the Python programming language
Minimum of 24 months of experience with Python libraries for Data Science such as Numpy, Pandas, and Scipy
Experience with small business financial modeling a plus.

Responsibilities:

Data Analysis & Modeling: Use data science techniques including data mining, machine learning, and natural language processing to extract and interpret meaningful insights from large, structured and unstructured datasets. This includes datasets pertaining to cash and accrual accounting, as well as other financial activities.
KPI Analysis and Reporting: Identify, analyze, and report on key performance indicators (KPIs) in the realm of finance and accounting. Develop data models that can predict KPI trends and provide strategic recommendations to the business.
Visualization of Accounting and

Financial Data:
Use data visualization tools to design and create dynamic data reports and dashboards. These should effectively communicate complex information regarding accounting as well as financial KPIs to stakeholders.

Cross-

Functional Collaboration:

Collaborate with accounting and finance teams to better understand financial parameters, including the nuances of cash and accrual accounting as well as relevant KPIs.

Use this understanding to refine data analysis and reporting techniques.